The study used machine learning to assess consumer spending and asset wealth, using high-resolution satellite imagery to measure poverty in Africa.

Published in 2016

Kimetrica has developed an application called MERON. MERON is a machine learning tool - Method for Extremely Rapid Observation of Nutritional Status to detect malnutrition using photographs. It allows for a non-invasive, time efficient, and tamper-proof approach to assessing the malnutrition status of an individual by using a facial recognition and processing algorithm.

Published in 2017

The flood forecasting pilot initiative incorporates AI and physics-based modeling to provide accurate real-time flood forecasting and alerts. The models can more accurately predict not only when and where a flood might occur, but also the severity of the event.

Published in 2019

The project aims to create a matching algorithm for refugees by modeling the ideal refugee migration patterns and recommend appropriate destination countries. In this way, the social and economic pressures in those countries could be alleviated, and the disruption to the lives of migrants and local inhabitants could also be minimized.

Published in 2018

This article explains the essentials of AI and data-driven analytics, analyzes the solution space of a number of human development problems, and identifies the most valuable contributions that AI and data analytics can make.

Published in 2018

The financial advisor system can learn from historical data to predict the account balances of individuals for a future time period, analyze the spending patterns of users, and provide key insights into their financial health. With its help, low-income individuals and families can better plan their financial spending behavior and avoid a vicious cycle of debt and poor credit.

Published in 2017

iFLYTEK continues to use AI technology to help poverty areas solve educational and medical difficulties.

Jaguza helps people solve their farming problems, concerning disease, Market, Farming Methods, information sharing, Livestock Monitoring, social security and Reporting. The Livestock Farmers use drones to obtain an aerial overview of the area in which they keep their livestock. They can track and monitor their livestock remotely, identifying any issues in real time.

Aerobotics uses drone imagery and artificial intelligence to monitor crops and warn about potential risks, early pest, and disease detection.

Microsoft in collaboration with ICRISAT, developed a digital agriculture, where technologies such as Artificial Intelligence (AI), Cloud Machine Learning, Satellite Imagery and advanced analytics are empowering small-holder farmers to increase their income through higher crop yield and greater price control.

FarmLogs is a free platform using AI to help farmers increase profitability and reduce waste. FarmLogs contains four products: FarmLog Lite(free), FarmLogs Essentials, FarmLogs Complete, Add-Ons.

With sensors, cameras, artificial intelligence, etc., Plenty provides the optimum conditions for crops to grow and uses robots for automated cultivation in Vertical Farm.

Published in 2017

Use model to predict population of salmons

Published in 2020

Classify land use to help farmers shift to more sustainable farming methods

Published in 2019

Identify pests using smartphone app.

Published in 2019

This project is using climate forecasts of Global Climate Models to predicted crop-yields in near-future in India.

Published in 2018

Prospera’s technology collects, digitizes & analyzes vast amounts of data to help growers control & optimize their production and growing systems. Prospera’s system provides growers easy-to- use digital tools to achieve better yields, healthier crops, and higher profits.

Kimetrica has developed an application called MERON. MERON is a machine learning tool - Method for Extremely Rapid Observation of Nutritional Status to detect malnutrition using photographs. It allows for a non-invasive, time efficient, and tamper-proof approach to assessing the malnutrition status of an individual by using a facial recognition and processing algorithm.

Published in 2017

Harvesting is building Agriculture Intelligence Engine to help financial institutions make and monitor loans to farmers in the developing world. There are 3 products in Harvesting Farmer Network: Credit Risk Solution, Farm Land Monitoring, and Land Record Monitoring.

Published in 2017

iFLYTEK continues to use AI technology to help poverty areas solve educational and medical difficulties.

Nutrition Early Warning System (NEWS) is one of many projects emerging out of the CGIAR Platform for Big Data in Agriculture. NEWS will aggregate and analyze satellite imagery and traditional data, such as rainfall, temperature, and vegetation health, to help predict the nutritive value of crops.

iFarm develops autonomous farming systems to grow greens, berries, and edible flowers indoors by using smart technologies. They offer fully automated, sustainable, eco-friendly and economically viable turnkey solutions suitable for production sites of any size.

Published in 2017

Nuru is an Artificially Intelligent that has been developed with the UN FAO, CGIAR, and other publicly funded institutions. It expects to radically transform pest and disease monitoring using AI, advanced sensor technology and crowdsourcing capable of connecting the global agricultural community.

Published in 2017

AdaViv is developing an adaptive and efficient indoor growing system that uses sensors, actuators, and machine learning to monitor plant growth, predict yields, detect diseases, and understand precisely how nutrients, environment and light are affecting plant growth. This system will help indoor producers attain higher yields, precise quality control, and hyper-efficient production.

Explore the depths of the ocean to help monitor the Hawaiʻi bottomfish population!

Published in 2001

Filling Fisheries Data Gaps with Historical Dock Photos

Published in 2019

This is a mobile app using augmented reality in combination with AI. By determining weight and height through a 3D scan of children, the app can instantly detect malnutrition.

Orbem.ai is as an interdisciplinary and international team from the Technical University of Munich. Their A.I. powered digital technology automatically analyzes and classifies biological samples, revolutionizing the way we produce food to meet the needs of a rising population.

Cloudwalk use AI technique to identify the species and quantity of fish in Qinghai lake. It is very important for the protection of Gymnocypris przewalskii, which is a valuble and unique resource in the lake.

Published in 2020

Monitoring global fishing activity

Published in 2017

The technology for whole genome sequence analysis is a technology for virus genome sequencing from sample to report. It establishes virus screening and analysis capabilities for local disease control centers and customs agencies that need to manage COVID-19. It provides viral genetic data screening, automated analysis and report generation, and can also work as a research platform for laboratories

This study involves tasks in identifying drug targets, identifying lead compounds, optimizing their designs against multiple property profiles of interest and identifying synthetic routes to realize the composition of matter.

The project looked at the possibility of AI-based on CRG in the scientific-technical process and social aspects and the decision making process.

Drug discovery and development are among the most important translational science activities that contribute to human health and wellbeing. However, the development of a new drug is a very complex, expensive, and long process. AI combined with new experimental technologies is expected to make the hunt for new pharmaceuticals quicker, cheaper, and more effective.

Kimetrica has developed an application called MERON. MERON is a machine learning tool - Method for Extremely Rapid Observation of Nutritional Status to detect malnutrition using photographs. It allows for a non-invasive, time efficient, and tamper-proof approach to assessing the malnutrition status of an individual by using a facial recognition and processing algorithm.

Published in 2017

A machine learning algorithm can detect signs of anxiety and depression in the speech patterns of young children, potentially providing a fast and easy way of diagnosing conditions.

Published in 2019

This system captures a high-resolution image of the back of the patient’s eye that clinicians use to identify diabetic retinopathy and determine if the patient is at risk of vision damage.

The CT Image Analytics for COVID-19 technology can assist in identifying characteristics of coronavirus pneumonia in CT scans with about 96% accuracy. It is 60 times faster than human detection methods, taking less than four seconds to run each test and transmit the data.

This system aims to make roads safer by sending alerts of crashes and illegal driving and to improve traffic management by counting and identifying vehicles and pedestrians.

The SARS-Cov virus, which studies the highest gene sequence similarity, modeled the covid-19 virus. Combined with high-precision molecular dynamics calculation and drug molecular simulation research and development platform, the three-dimensional structure of 3CLpro and PLpro potential targets on covid-19 viruses and the Siper protein associated with infection was obtained. New screening of older

Northwestern University researchers are using artificial intelligence (AI) to speed up the search for COVID-19 treatments and vaccines. The AI-powered tool makes it possible to prioritize resources for the most promising studies — and ignore research that is unlikely to yield benefits.

The system uses a newly designed TMuNet model that automatically identifies and locates suspect lesions, identifies the location of the lump and calcite stoves, and helps doctors quickly find suspects.

Use AI to examine and treat glaucoma patients

Using an existing social media dataset that was associated with HIV and coded by an HIV domain expert, they tested whether four commonly used machine learning methods could learn the patterns associated with HIV risk behavior. They used the 10-fold cross validation method to examine the speed and accuracy of these models in applying that knowledge to detect HIV content in social media data.

Waycare collects data from transportation agencies' existing infrastructure. This information is combined with additional data from mobile apps, connected vehicles, weather, and event management systems. Artificial Intelligence (AI) algorithms ingest, synthesize, and process this information to produce actionable insights and predictions for traffic safety and congestion management.

The technology uses AI as an adjunct to clinician interpretation of electronic fetal heart rate monitoring. 

Using Artificial Intelligence and Predictive Analytics, we have created several machine learning tools and engines in line of important issues related to public health.

iFLYTEK continues to use AI technology to help poverty areas solve educational and medical difficulties.

The study explored different modes of refinement for image-based search, and evaluated their effects on doctor interaction with SMILY.

AI helps the clinical care team provide the best care for patients.

The study would identify prescriptions that looked abnormal for the patient and their current situation,preventing medication errors in patients

IBM Watson Health was created to help solve some of the world's most pressing health challenges through data, analytics and AI. 

On August 24th, the global online education "unicorn" enterprise iTutorGroup celebrated its 20th anniversary in Taipei. Founder and CEO Dr. Eric Yang laid out the company's blueprint for strategic development as he talked about AI and education with the world's first robot citizen Sophia. iTutorGroup 'hired' Sophia as the first-ever AI tutor and invited her to explore the new era of online educa

Published in 2018

March 30, 2020 – Asia's leading artificial intelligence (A.I.) and speech technology company, iFLYTEK has partnered with the South Korean technology company, Hancom Group, to launch the joint venture Accufly.AI in South Korea.The A.I. Outbound Calling System is a smart, integrated system that is based on iFLYTEK solutions and Hancom Group's Korean-based speech recognition. .

Published in 2020

BenevolentAI platform helps researchers to review millions of papers and abstracts and can organize the information into a network of known facts. The AI tool can generate a large number of possible hypotheses, and these hypotheses can be further analyzed and distilled into several promising hypotheses. This AI tool can raise the efficiency and success rate of pharma research and development.

Published in 2020

This is a mobile app using augmented reality in combination with AI. By determining weight and height through a 3D scan of children, the app can instantly detect malnutrition.

Retinal screening becomes part of a regular health checkup for early disease identification and management. Major retinal diseases such as diabetic retinopathy, glaucoma and age-related macular degeneration can now be identified in an early stage. Additionally, a retinal analysis can assess the impact of risk factors – including diabetes, smoking, obesity, high cholesterol, and hypertension.

Hujiang proposed AI technologies based systems to enhance learners' learning efficiency.

China started to work with 60,000 schools for automatic essay correction, with a level of precision matching humans in 92% of the cases.

Plan Ceibal in Uruguay introduced Mathematics Adaptive Platform, which has been adapted to the national curriculum. It is a tool that provides personalized feedback according to each student's skill level based on an analysis of student experiences.

In Brazil, the federal government created Mec Flix as a state educational platform. It is a video content platform designed to prepare students for the national higher education examination.

IBM introduced SimplerVoice: a key message and visual description generator system to help low-literate adults navigate the information-dense world with confidence on their own.

Xiaoyuan Kousuan had gained increasing popularity in China since its launch a year ago. It claims to have checked an average of 70 million arithmetic problems per day, saving users around 40,000 hours in total.

Knewton provides adaptive learning technology to bring customized education to people all around the world. Education companies, schools, and teachers all use Knewton to run their digital course media and tailor materials to students' needs. The platform helps improves pass rates, motivates students, and helps them get better exam scores.

Mindojo is an intelligent learning platform. It's simple, you map out the content of your course, and Mindojo creates a chat-like learning process, personalized for each of your students. As students learn, Mindojo both adapts better to students and improves your content.

In Brazil, an EdTech company Geekie the adaptive learning platform in Brazil accredited by the country's Ministry of Education – is used by over 5,000 schools across the country to provide customized learning experiences for students.

The AIY Vision Kit from Google lets you build your own intelligent systems that can see, speak, and recognize objects using machine learning. Everything you need is provided in the kit.

The Hangzhou No. 11 Middle School has established a "smart classroom behavior management system," which captures students' expressions and movements, analyzing them with big data to make sure they're paying attention.on of privacy.

Iris.ai uses Natural Language Processing technologies to review massive collections of research papers or patents to find the right documents, extract all their critical data, or identify the most precise pieces of knowledge.

iFLYTEK continues to use AI technology to help poverty areas solve educational and medical difficulties.

Using Cycle-Consistent Adversarial Networks and climate models, researchers create an educational tool that will produce accurate, vivid, and personalized street-view images of houses after extreme weather events, so as to raise public awareness and conceptual understanding of climate change.

Published in 2019

Chilean researchers used open data published by the government regarding social, geographical and educational contexts to predict student dropout.

Published in 2016

In the United Arab Emirates (UAE), the Ministry of Education rolled out an advanced data analytics platform with over 1,200 schools and over 70 higher education institutions, totalling over 1.2 million students.

Published in 2017

In Guayaquil, Ecuador, the project “Más Tecnología” introduced computers for students with a software that personalises curriculums based on the results of assessments in language and mathematics.

Published in 2010

M-Shule is the first adaptive, mobile learning management platform designed to improve performance for millions of primary school students across Kenya and Sub-Saharan Africa. They know that different learners have different abilities, needs, strengths and goals.

Published in 2016

Daptio uses artificial intelligence to help students, mentors and teachers to understand the proficiency level of each student and then match the relevant content.

Published in 2013

On August 24th, the global online education "unicorn" enterprise iTutorGroup celebrated its 20th anniversary in Taipei. Founder and CEO Dr. Eric Yang laid out the company's blueprint for strategic development as he talked about AI and education with the world's first robot citizen Sophia. iTutorGroup 'hired' Sophia as the first-ever AI tutor and invited her to explore the new era of online educa

Published in 2018

Otsu, a Japanese city, plans to use AI to predict how suspected cases of school bullying might evolve in the future.

Published in 2018

This project highlights the life stories of women scientists who won the Noble Prize, and discovers the deep connections of these women.

The project provides APIs to help companies and organizations to measure the gender gap by big data analysis.

The group the organizations take action to help women in tech careers, including the AI domain.

The project mainly provides digital tools for women to learn and enhance working techniques.

The project aims to provide 100% founded scholorship for women in AI AI Engineer Bootcamp.

This project uses artificial intelligence to help realize and uphold child rights.

This project provides a fee-based website to help domestic violence survivor to file the legal paperwork for a restraining order against an abuser.

This project describes and provides a smart intelligence security device to protect India women from rape.

Published in 2018

Google's Women Techmakers program provides visibility, community, and resources for women in technology.

The organization is founded by a famous female scientist, Joy Buolamwini, to develop existed algorithms to overcome the large racial and gender bias, especially facial recognition technologies.

Garbage sorting automation is one of the Baidu Star Plan projects. The garbage classification automatic scheme created by Baidu flying paddle ability and model was trained by using the object detection and image segmentation model of flying paddle.

CleanRobotics is dedicated to Creating sustainable, innovative, tech-driven solutions to persistent environmental problems. It is opening up a new program to replace all of your facilities waste stations with TrashBots for free.

RemixWater is one of Hitachi's products. It is an integrated system of seawater desalination and water reuse using artificial intelligence technology to develop detailed indicators. The system aims to save energy and costs by mixing seawater and wastewater.

ConserWater is a platform using satellite data and AI to help farmers reduce water wastage and predict exactly how much water farmers need to give to their crops at any time. It also includes AI-based irrigation recommendations, plant disease detection, irrigation leak detection, farm-specific weather, and so on.

The RUBSEE project is a real time monitoring system using AI and computer vision to follow waste management processes in waste treatment plants. It aims to optimize the waste industry s environment and improve its economic and regulatory compliance.

WINT uses artificial intelligence to detect water waste and leaks in real-time and can alert the user about the leakage of water and shut it down automatically at the source with higher precision compared to staff. It not only conserves water resources but also prevents damages caused by water leaks in commercial and government buildings and infrastructures.

Published in 2018

EQwater is a project using data analytics and machine learning to identify inequities in water distribution and develop data-based recommendations to resolve them.

Published in 2017

This project will assimilate data from disparate sources, using Microsoft Azure resources to host and deploy machine learning models, then create a dashboard that people can interact with on a server. It will provide regulators, advocacy groups, and the public with scientifically informed estimates of the impact of extreme drought events on drinking water availability.

Published in 2019

BasinScout Platform uses satellite data and machine learning to help identify the best places to improve groundwater and surface water quantity and quality， and address pressing watershed management needs.

At an RDS of Virginia recycling center in Roanoke, two spider-like, 300-pound robots sort through an unending line of trash. One robot’s skinny leg, which relies on computer vision to detect recyclables, plucks a hunk of blue plastic off a conveyor belt, while the other’s grabs a piece of an old water bottle. The machine then places those bits into sorting bins using a vacuum gripper.

Published in 2020

Lawuna helps detect and monitor macro-pollutants on the shores of freshwater bodies using real-time drone and smartphone imagery. The goal of this project is to establish a freshwater contaminant monitoring system and empower communities with rich, open environmental data while restoring freshwater bodies from extreme damage caused by excessive danges of macro-pollutants.

Published in 2020

ANM tracks how the grid interacts with different energy loads to adjust its components and to achieve efficiency gains. When a new energy producer (such as a solar plant) starts working, or new energy consumers begin to connect to the grid, the ANM adjusts the grid accordingly. Therefore, ANM also lays the foundation for electric vehicles to be charged using the smart grid.

Published in 2017

SparkCognition combines parsimony, sensors and data generated from operations to predict when critical infrastructure will collapse.

Published in 2017

The company has launched an AI-based diagnostic and optimization solution that captures and analyzes all the production data of a solar power plant, and daily management is optimized and guided.

Published in 2015

Nnergix company uses both satellite data and machine learning (ML) algorithms for more accurate prediction of energy production. The satellite data is generated from satellite images and they are are prepared for large-scale and small-scale weather models.

Published in 2013

Tech giants such as Google, Amazon and Microsoft are providing cloud computing services and AI support for oil and gas companies. It not only accelerates the location and extraction of fossil fuels but also makes them appear on the market faster and cheaper. According to GreenPeace reports, these technology companies have contradicted with their commitments to address climate change.

Published in 2020

From machine learning to computer vision, deep learning to virtual assistants and autonomous vehicles to robotics, Shell has been focused on a range of technologies that have supported advances in AI. Including exploration production and maintenance with less emission, and EV cars recharging with lower costs.

Published in 2018

The AIY Vision Kit from Google lets you build your own intelligent systems that can see, speak, and recognize objects using machine learning. Everything you need is provided in the kit.

The conference topic is focused on the fight against forced labor, modern slavery, human trafficking, and child labor with artificial intelligence and computational science。

SIEAERO is a smart analytic software developed by Siemens for overhead line inspection. It leverages UAVs, AI, and digital to improve service of transmission lines. SIEAERO service is fully automated, faster, and more precise. It reduced the time for flight execution and data analysis from weeks or even months to a few days.

EARN developed a policy brief for businesses interested in AI to benefit is to guarantee the right of people with disability.

According to estimation from market research institutions, up to 50 percent of most activities can be automatic by AI robots. That means labors will have more time to assess the results, advise customers or patients, or recognize and foster the abilities of our employees. As AI is widely deployed in enterprises, new jobs are being created, and others are less needed, others are changing.

Japanese entrepreneur Miku Hirano founded the enterprise, Cinnamon, using artificial intelligence to help relieve the burden on the Japanese worker and restore work-life balance.

A free tool was developed by Google and Management of the Politecnico University of Milan to evaluate their readiness for artificial intelligence and to understand how to make the most of the solutions offered. AI can help growing benefits for the thousands of small- and medium-sized businesses.

In Chile, AI brings up new opportunities in several industries and Working together with many industries to supporting the development of cities to help everyone succeed.

FarmLogs is a free platform using AI to help farmers increase profitability and reduce waste. FarmLogs contains four products: FarmLog Lite(free), FarmLogs Essentials, FarmLogs Complete, Add-Ons.

In the case of this service, Abu Dhabi National Oil Company (ADNOC) and IBM co-created a recognize software for classifying the characteristics of rock samples. This software is a faster and more accurate tool to classify rock samples to preserve geologists’ time and to help determine the best locations to fulfill their drilling strategy.

Using AI-powered vision replace traditional machine-vision technology in the automotive industry to inspect the surface defects such as auto-body scratches and part defects like panel splits, cracks, inner-fin defects, defective automotive vents, etc. AI-powered vision performs is much better than the traditional rule-based machine vision in drastically lowering (up to 90% in some cases) the numbe

Using satellites and AI to preserve biodiversity, protect livelihoods, and prevent slave labor in the seafood industry.

Published in 2014

Crayon is an AI-powered analysis tool which helps small enterprises to keep track of the digital movements of their competitors from hundreds of millions of sources. It analyzes the strengths and weaknesses of other companies by monitoring and investigating the price fluctuation, the market campaigns, customer feedback, etc. The users could adjust their strategies according to the market trends di

MonkeyLearn is a platform which provides tools that allow users to train artificial intelligence agents within a few hours without the need for coding ability or expertise in machine learning. Instead of hiring data scientists and market experts, small enterprises can easily incorporate AI in their business by merely feeding the customer data into the easy-to-use interface provided by MonkeyLearn.

The AI Economist uses a Reinforcement Learning framework in simulated economies to learn dynamic tax policies, providing a purely simulation-based and data-driven solution in finding a tax policy that optimizes equality along with productivity. The simulations may help to improve policy impact and social outcomes in real-world economies.

Published in 2020

Willow , Woodside developed their own cognitive assistant based on Watson deep learning artificial intelligence platforms. In deployed Watson systems, Willow could work across and outside them. Using simple, natural language voice or text commands, Willow clearly knows which system holds the information we need, or related information lives in several systems, drawing relevant answers from our 64-

Einstein AI, proposed by SalesForce, is an artificial intelligence system embedded inside the SalesForce CRM system that can help small and medium-sized businesses to explore and analyze customer data and to focus on marketing. It integrates multiple AI technologies to extract customer preference from their phone conversations, emails and even social media posts so that the salespersons could comm

Published in 2016

Artificial intelligence is likely to affect the entire landscape of insurance as we know it.In this article we look at three key ways that AI will drive savings for insurance carriers, brokers and policyholders, plugging into existing transformations within the insurance industry

Published in 2020

In a global market that makes room for more competitors by the day, some companies are turning to AI and machine learning to try to gain an edge. Supply chain and inventory management is a domain that has missed some of the media limelight, but one where industry leaders have been hard at work developing new AI and machine learning technologies over the past decade.

Published in 2019

At an RDS of Virginia recycling center in Roanoke, two spider-like, 300-pound robots sort through an unending line of trash. One robot’s skinny leg, which relies on computer vision to detect recyclables, plucks a hunk of blue plastic off a conveyor belt, while the other’s grabs a piece of an old water bottle. The machine then places those bits into sorting bins using a vacuum gripper.

Published in 2020

Walmart wants to learn whether robotic deliveries fit in with its retail operations so it’s launching a pilot program with General Motors backed Cruise using the tech startup’s electric, self-driving to haul groceries and other goods to suburban Phoenix customers.

Published in 2020

On August 24th, the global online education "unicorn" enterprise iTutorGroup celebrated its 20th anniversary in Taipei. Founder and CEO Dr. Eric Yang laid out the company's blueprint for strategic development as he talked about AI and education with the world's first robot citizen Sophia. iTutorGroup 'hired' Sophia as the first-ever AI tutor and invited her to explore the new era of online educa

Published in 2018

March 30, 2020 – Asia's leading artificial intelligence (A.I.) and speech technology company, iFLYTEK has partnered with the South Korean technology company, Hancom Group, to launch the joint venture Accufly.AI in South Korea.The A.I. Outbound Calling System is a smart, integrated system that is based on iFLYTEK solutions and Hancom Group's Korean-based speech recognition. .

Published in 2020

The World Health Organization reports that more than 160 million people are affected by natural disasters annually. Estimates from the World Bank also suggest that 26 million people are forced below the poverty line annually due to natural disasters. Technological advancements with artificial intelligence (AI) aiding natural disasters may help countries with their response to such catastrophic ev

Published in 2020

The AIY Vision Kit from Google lets you build your own intelligent systems that can see, speak, and recognize objects using machine learning. Everything you need is provided in the kit.

Aerobotics uses drone imagery and artificial intelligence to monitor crops and warn about potential risks, early pest, and disease detection.

This system aims to make roads safer by sending alerts of crashes and illegal driving and to improve traffic management by counting and identifying vehicles and pedestrians.

Iris.ai uses Natural Language Processing technologies to review massive collections of research papers or patents to find the right documents, extract all their critical data, or identify the most precise pieces of knowledge.

In the case of this service, Abu Dhabi National Oil Company (ADNOC) and IBM co-created a recognize software for classifying the characteristics of rock samples. This software is a faster and more accurate tool to classify rock samples to preserve geologists’ time and to help determine the best locations to fulfill their drilling strategy.

Using AI-powered vision replace traditional machine-vision technology in the automotive industry to inspect the surface defects such as auto-body scratches and part defects like panel splits, cracks, inner-fin defects, defective automotive vents, etc. AI-powered vision performs is much better than the traditional rule-based machine vision in drastically lowering (up to 90% in some cases) the numbe

The flood forecasting pilot initiative incorporates AI and physics-based modeling to provide accurate real-time flood forecasting and alerts. The models can more accurately predict not only when and where a flood might occur, but also the severity of the event.

Published in 2019

The City Brain project, created by DAMO Academy, Alibaba, aims to solve emerging challenges Chinese cities are facing with during their rapid development, including heavy traffic congestions, urban planning, crime prevention, etc. The platform has achieved promising progress in many cities in China and Kuala Lumpur, the capital of Malaysia.

Road weather information system (RWIS) is an intelligent system which can monitoring and recording all kinds of weather information or road conditions, thus helping drivers to avoid severe pavement condition, and engineers to schedule the maintenance. The system is very sustainable and resilient as it consumes low power and is built strong enough to undergo stressful situations.

Crayon is an AI-powered analysis tool which helps small enterprises to keep track of the digital movements of their competitors from hundreds of millions of sources. It analyzes the strengths and weaknesses of other companies by monitoring and investigating the price fluctuation, the market campaigns, customer feedback, etc. The users could adjust their strategies according to the market trends di

FloodAlerts is a software application which can automatically warn users about the risk of flood based on information provided by the Environment Agency. Personal users can choose a safer route by setting several monitoring locations. At the same time, the software can help enterprises to watch out for the water level in the area of infrastructure and assets.

MonkeyLearn is a platform which provides tools that allow users to train artificial intelligence agents within a few hours without the need for coding ability or expertise in machine learning. Instead of hiring data scientists and market experts, small enterprises can easily incorporate AI in their business by merely feeding the customer data into the easy-to-use interface provided by MonkeyLearn.

Dynamic Infrastructure can spot and repair defects in various infrastructures and assets, including bridges, tunnels and roadways with AI technology to avoid significant failures. The system performs imagery analysis on information extracted from the past inspection records and day-to-day photos, Lidar scanning and drone flights. It can create interactive visual medical reports for each defect.

FUJITSU aims to solve the severe problems of maintaining and managing deteriorating bridges infrastructures using AI and FUJITSU Human Centric AI Zinrai technology. The job was initially done by human visual inspections, which can only spot the abnormalities on the surface of the infrastructure. On the contrary, this technology collects vibration data from IoT sensors to determine the internal da

Published in 2017

Waycare collects data from transportation agencies' existing infrastructure. This information is combined with additional data from mobile apps, connected vehicles, weather, and event management systems. Artificial Intelligence (AI) algorithms ingest, synthesize, and process this information to produce actionable insights and predictions for traffic safety and congestion management.

Avitas Systems is improving safety inspection efficiency in industries by incorporating robotics, AI and data analytics technology, powered by NVIDIA AI supercomputers, in critical infrastructure and sites of oil, gas, energy and transportation.

The initiative is launched by UNDP with IBM Research to develop an algorithm to automate the Rapid Integrated Assessment (RIA). The RIA aims to help countries align their national plans with the Global Goals for Sustainable Development and AI could help reduce the completion time "from an estimated 3-4 weeks to 3 days."

Published in 2018

Researchers have applied deep learning to street imagery for measuring spatial distributions of income, education, unemployment, housing, living environment, health, and crime. It has the potential to complement traditional survey-based and administrative data sources for high-resolution urban surveillance to measure inequalities and monitor the impacts of related policies.

Published in 2019

Willow , Woodside developed their own cognitive assistant based on Watson deep learning artificial intelligence platforms. In deployed Watson systems, Willow could work across and outside them. Using simple, natural language voice or text commands, Willow clearly knows which system holds the information we need, or related information lives in several systems, drawing relevant answers from our 64-

Google is working with machine learning engineers from DeepMind, the world-leading artificial intelligence company, to reduce the power consumption for cooling down its considerable number of data centres. The system analyzes the relationship between various actions and their corresponding energy consumption, to select the best strategy which still maintains the safety standards.

Einstein AI, proposed by SalesForce, is an artificial intelligence system embedded inside the SalesForce CRM system that can help small and medium-sized businesses to explore and analyze customer data and to focus on marketing. It integrates multiple AI technologies to extract customer preference from their phone conversations, emails and even social media posts so that the salespersons could comm

Published in 2016

Artificial intelligence is likely to affect the entire landscape of insurance as we know it.In this article we look at three key ways that AI will drive savings for insurance carriers, brokers and policyholders, plugging into existing transformations within the insurance industry

Published in 2020

In a global market that makes room for more competitors by the day, some companies are turning to AI and machine learning to try to gain an edge. Supply chain and inventory management is a domain that has missed some of the media limelight, but one where industry leaders have been hard at work developing new AI and machine learning technologies over the past decade.

Published in 2019

At an RDS of Virginia recycling center in Roanoke, two spider-like, 300-pound robots sort through an unending line of trash. One robot’s skinny leg, which relies on computer vision to detect recyclables, plucks a hunk of blue plastic off a conveyor belt, while the other’s grabs a piece of an old water bottle. The machine then places those bits into sorting bins using a vacuum gripper.

Published in 2020

Walmart wants to learn whether robotic deliveries fit in with its retail operations so it’s launching a pilot program with General Motors backed Cruise using the tech startup’s electric, self-driving to haul groceries and other goods to suburban Phoenix customers.

Published in 2020

Tech giants such as Google, Amazon and Microsoft are providing cloud computing services and AI support for oil and gas companies. It not only accelerates the location and extraction of fossil fuels but also makes them appear on the market faster and cheaper. According to GreenPeace reports, these technology companies have contradicted with their commitments to address climate change.

Published in 2020

BenevolentAI platform helps researchers to review millions of papers and abstracts and can organize the information into a network of known facts. The AI tool can generate a large number of possible hypotheses, and these hypotheses can be further analyzed and distilled into several promising hypotheses. This AI tool can raise the efficiency and success rate of pharma research and development.

Published in 2020

Most animation studios have to stick to a visual style and formula that is proven to successful before because they have to spend a large amount of time to create the animations. Now researchers in Japan are trying to build an AI tool which can colourize automatically so that artists can try more ideas and visual styles.

Published in 2018

A historical problem of the fashion industry is the waste of resources. H&M is a fashion brand well-known for using recycled materials in its supply chain. According to Arti Zeighami, global head of advanced analytics and AI at H&M, H&M set up its AI department to align demand and supply, and to eventually avoid wasting resources and reduce emissions.

Published in 2018

Researchers are now using graph neural networks(GNN) to map physical systems. A mixture of data is fed into GNN models for training, and symbolic regression is applied afterwards to derive mathematical equations from the GNN models. It has been shown that the AI system can derive Newton's laws of motion, and unknown mathematical formulations to describe dark matters with a lower error rate.

Published in 2020

This project uses artificial intelligence to help realize and uphold child rights.

The study used machine learning to assess consumer spending and asset wealth, using high-resolution satellite imagery to measure poverty in Africa.

Published in 2016

The project aims to create a matching algorithm for refugees by modeling the ideal refugee migration patterns and recommend appropriate destination countries. In this way, the social and economic pressures in those countries could be alleviated, and the disruption to the lives of migrants and local inhabitants could also be minimized.

Published in 2018

The financial advisor system can learn from historical data to predict the account balances of individuals for a future time period, analyze the spending patterns of users, and provide key insights into their financial health. With its help, low-income individuals and families can better plan their financial spending behavior and avoid a vicious cycle of debt and poor credit.

Published in 2017

The AI Economist uses a Reinforcement Learning framework in simulated economies to learn dynamic tax policies, providing a purely simulation-based and data-driven solution in finding a tax policy that optimizes equality along with productivity. The simulations may help to improve policy impact and social outcomes in real-world economies.

Published in 2020

Researchers have applied deep learning to street imagery for measuring spatial distributions of income, education, unemployment, housing, living environment, health, and crime. It has the potential to complement traditional survey-based and administrative data sources for high-resolution urban surveillance to measure inequalities and monitor the impacts of related policies.

Published in 2019

On August 24th, the global online education "unicorn" enterprise iTutorGroup celebrated its 20th anniversary in Taipei. Founder and CEO Dr. Eric Yang laid out the company's blueprint for strategic development as he talked about AI and education with the world's first robot citizen Sophia. iTutorGroup 'hired' Sophia as the first-ever AI tutor and invited her to explore the new era of online educa

Published in 2018

iQIYI, an online entertainment service provider in China, has unveiled "the world's first virtual AI/AR sign language interpreter, allowing hearing-impaired watchers to enjoy iQIYI's content with a much greater level of ease."

Published in 2018

The AI sign language translator is developed by Tencent Youtu Lab to automatically recognize a variety of signs and translate them into written text. The device is expected to "provide better services for people with impaired hearing in public places and help develop information accessibility."

Published in 2019

Lookout is a Google app, similar to "Seeing AI", that uses AI to detect and report items around such as people, text, objects in the scene to help people with visual disabilities.

Seeing AI is a Microsoft research project and also an app that helps people with visual impairment by narrating the world around them, e.g. describing the visual world around them, recognizing friends and their facial expressions, reading text on documents, etc.

Google is working to create and optimize AI-based algorithms to learn about the communication needs of people with impaired speech so that "mobile phones and computers can more reliably transcribe words spoken by people with these kinds of speech difficulties."

Published in 2019

HandTalk is an app that uses AI technology and cartoon images to translate Portuguese into Brazilian local sign language, helping hearing-impaired people to conduct digital communication and sign language learning.

Published in 2012

Legaltech Seed is a Non-profit Association focused on Law and Technology, articulating the interdisciplinary participation of students, teachers and professionals in the analysis, debate and production of knowledge related to the unequal distribution in access, use and knowledge of Technologies that impacts and challenges us as citizens and professionals of law.

In Chile, AI brings up new opportunities in several industries and Working together with many industries to supporting the development of cities to help everyone succeed.

ConserWater is a platform using satellite data and AI to help farmers reduce water wastage and predict exactly how much water farmers need to give to their crops at any time. It also includes AI-based irrigation recommendations, plant disease detection, irrigation leak detection, farm-specific weather, and so on.

The RUBSEE project is a real time monitoring system using AI and computer vision to follow waste management processes in waste treatment plants. It aims to optimize the waste industry s environment and improve its economic and regulatory compliance.

This project highlights the life stories of women scientists who won the Noble Prize, and discovers the deep connections of these women.

The Repaint system can help to design reproductions of paintings combined with 3D printing and deep learning technologies.

AI technologies is used to learn the Bach's signature music style

Published in 2019

Europeana Collections is Europe’s digital library, museum, gallery and archive, providing online access to a vast store of cultural heritage material from across Europe

This large project aims to develop a digital information system by analyzing the big data of the past and future of Europe.

This system aims to make roads safer by sending alerts of crashes and illegal driving and to improve traffic management by counting and identifying vehicles and pedestrians.

Artificial intelligence techniques have been utilized to reconstruct the historic 3D map of the famed Mont-Saint-Michel —a 17th century icon of French.

Artificial intelligence is used here to identify and prevent the spread of misinformation online by quantifying bias.

The Venice Time Machine Project is a pioneer international Digital Humanities scientific program which includes two phases to build a digital library and 4D model of Venice Mirror world.

Published in 2012

The project aims to preserve the dying language - te reo Māori using artificial intelligence technology.

The Metropolitan Museum of Art houses over 1.5 million works of art spanning 5,000 years. Now, The Met is exploring artificial intelligence to make its collection accessible to the 3.9 billion internet-connected people worldwide.

The City Brain project, created by DAMO Academy, Alibaba, aims to solve emerging challenges Chinese cities are facing with during their rapid development, including heavy traffic congestions, urban planning, crime prevention, etc. The platform has achieved promising progress in many cities in China and Kuala Lumpur, the capital of Malaysia.

Road weather information system (RWIS) is an intelligent system which can monitoring and recording all kinds of weather information or road conditions, thus helping drivers to avoid severe pavement condition, and engineers to schedule the maintenance. The system is very sustainable and resilient as it consumes low power and is built strong enough to undergo stressful situations.

FloodAlerts is a software application which can automatically warn users about the risk of flood based on information provided by the Environment Agency. Personal users can choose a safer route by setting several monitoring locations. At the same time, the software can help enterprises to watch out for the water level in the area of infrastructure and assets.

Dynamic Infrastructure can spot and repair defects in various infrastructures and assets, including bridges, tunnels and roadways with AI technology to avoid significant failures. The system performs imagery analysis on information extracted from the past inspection records and day-to-day photos, Lidar scanning and drone flights. It can create interactive visual medical reports for each defect.

FUJITSU aims to solve the severe problems of maintaining and managing deteriorating bridges infrastructures using AI and FUJITSU Human Centric AI Zinrai technology. The job was initially done by human visual inspections, which can only spot the abnormalities on the surface of the infrastructure. On the contrary, this technology collects vibration data from IoT sensors to determine the internal da

Published in 2017

The project aims to create a matching algorithm for refugees by modeling the ideal refugee migration patterns and recommend appropriate destination countries. In this way, the social and economic pressures in those countries could be alleviated, and the disruption to the lives of migrants and local inhabitants could also be minimized.

Published in 2018

Researchers have applied deep learning to street imagery for measuring spatial distributions of income, education, unemployment, housing, living environment, health, and crime. It has the potential to complement traditional survey-based and administrative data sources for high-resolution urban surveillance to measure inequalities and monitor the impacts of related policies.

Published in 2019

The World Health Organization reports that more than 160 million people are affected by natural disasters annually. Estimates from the World Bank also suggest that 26 million people are forced below the poverty line annually due to natural disasters. Technological advancements with artificial intelligence (AI) aiding natural disasters may help countries with their response to such catastrophic ev

Published in 2020

Building an image-recognition tool to improve plastic recycling rates, reduce ocean plastic pollution, and strengthen waste management in under-resourced communities.

Published in 2016

FarmLogs is a free platform using AI to help farmers increase profitability and reduce waste. FarmLogs contains four products: FarmLog Lite(free), FarmLogs Essentials, FarmLogs Complete, Add-Ons.

ConserWater is a platform using satellite data and AI to help farmers reduce water wastage and predict exactly how much water farmers need to give to their crops at any time. It also includes AI-based irrigation recommendations, plant disease detection, irrigation leak detection, farm-specific weather, and so on.

With the vast database of over 300 million customers feedback, JD tries to make the consumption more responsible by using big data and artificial intelligence based on the Consumer-to-Manufacturer (C2M) model.

Published in 2019

KITRO reduces avoidable food waste by providing restaurants with automated hardware and software solutions to identify, manage, and monitor the source and quantity of food waste and reduce the hidden cost of food waste.

Published in 2017

With sensors, cameras, artificial intelligence, etc., Plenty provides the optimum conditions for crops to grow and uses robots for automated cultivation in Vertical Farm.

Published in 2017

Ecoisme is an energy-saving system that could monitor and analyze the energy consumption of the electric equipment then give insights to reduce the utility bills.

Published in 2017

Baidu uses the deep-learning platform PaddlePaddle and its click-through rate (CTR) model to predict the purchased quantity of fresh goods in convenience stores. This technology can effectively reduce food waste.

Published in 2017

Winnow Vision uses artificial intelligence to detect the type and quantity of food discarded, and the commercial kitchen could reduce food waste with these data.

Published in 2019

TOMRA is a company from Norway which uses sensor-based technology for optimal resource productivity, includes reverse vending, material recovery, food sorting, recycling and mining.

Published in 2019

Google is working with machine learning engineers from DeepMind, the world-leading artificial intelligence company, to reduce the power consumption for cooling down its considerable number of data centres. The system analyzes the relationship between various actions and their corresponding energy consumption, to select the best strategy which still maintains the safety standards.

WINT uses artificial intelligence to detect water waste and leaks in real-time and can alert the user about the leakage of water and shut it down automatically at the source with higher precision compared to staff. It not only conserves water resources but also prevents damages caused by water leaks in commercial and government buildings and infrastructures.

Published in 2018

Artificial intelligence is likely to affect the entire landscape of insurance as we know it.In this article we look at three key ways that AI will drive savings for insurance carriers, brokers and policyholders, plugging into existing transformations within the insurance industry

Published in 2020

This project is using climate forecasts of Global Climate Models to predicted crop-yields in near-future in India.

Published in 2018

The flood forecasting pilot initiative incorporates AI and physics-based modeling to provide accurate real-time flood forecasting and alerts. The models can more accurately predict not only when and where a flood might occur, but also the severity of the event.

Published in 2019

Google is working with machine learning engineers from DeepMind, the world-leading artificial intelligence company, to reduce the power consumption for cooling down its considerable number of data centres. The system analyzes the relationship between various actions and their corresponding energy consumption, to select the best strategy which still maintains the safety standards.

Using Cycle-Consistent Adversarial Networks and climate models, researchers create an educational tool that will produce accurate, vivid, and personalized street-view images of houses after extreme weather events, so as to raise public awareness and conceptual understanding of climate change.

Published in 2019

Experts explore how machine learning can help tackle the climate crisis, such as promoting greenhouse gas emission reduction and helping society adapt to a changing climate. Some high impact problems are identified where existing gaps can be filled by machine learning, and a platform is also built for resource and knowledge sharing as well as interdisciplinary collaborations.

Published in 2019

The World Health Organization reports that more than 160 million people are affected by natural disasters annually. Estimates from the World Bank also suggest that 26 million people are forced below the poverty line annually due to natural disasters. Technological advancements with artificial intelligence (AI) aiding natural disasters may help countries with their response to such catastrophic ev

Published in 2020

The study presents the "first application of Deep Learning techniques as an alternative methodology for climate extreme events detection." The developed deep Convolutional Neural Network (CNN) classification system is able to learn high-level representations of a broad class of patterns from labeled data and achieves 89%-99% of accuracy in detecting extreme events.

Published in 2016

MIT researchers have developed a new automated AI system for training and running certain neural networks which could improve the computational efficiency of the system in some key ways, thus cutting down the pounds of carbon emissions involved.

Published in 2020

AI technology presents an exciting opportunity to scale up variance-analysis techniques to multiple energy-intensive industries and dramatically decrease the time and resources required, making continuous improvement towards sustainability goals both viable and valuable for process industries.

IBM’s China Research lab launched the Green Horizons initiative in 2014 with a multipronged strategy to help cities better manage air pollution while at the same time enabling utilities to improve the viability of renewable energy. The project also uses some of IBM’s cognitive computing and Internet of Things technologies to build accurate energy and environmental forecasting systems.

Published in 2014

The Climate TRACE coalition is building a tool that will use artificial intelligence, satellite image processing, machine learning, and other remote sensing technologies to track worldwide human-caused greenhouse gas (GHG) emissions to specific sources in real-time, thus assisting stronger decision-making on climate change.

Published in 2020

Tech giants such as Google, Amazon and Microsoft are providing cloud computing services and AI support for oil and gas companies. It not only accelerates the location and extraction of fossil fuels but also makes them appear on the market faster and cheaper. According to GreenPeace reports, these technology companies have contradicted with their commitments to address climate change.

Published in 2020

Lawuna helps detect and monitor macro-pollutants on the shores of freshwater bodies using real-time drone and smartphone imagery. The goal of this project is to establish a freshwater contaminant monitoring system and empower communities with rich, open environmental data while restoring freshwater bodies from extreme damage caused by excessive danges of macro-pollutants.

Published in 2020

Researches have demonstrated that stratospheric balloons guided by AI can "pursue a long-term strategy for positioning themselves about a location on the Equator even when precise knowledge of buffeting winds is not known," which would "open up a range of commercial and scientific applications for probing Earth’s atmosphere and that of other planets."

Published in 2020

Building an image-recognition tool to improve plastic recycling rates, reduce ocean plastic pollution, and strengthen waste management in under-resourced communities.

Published in 2016

Use model to predict population of salmons

Published in 2020

Tracking Antarctic penguin populations

Published in 2012

Illustrate the value of coral reefs

Published in 2014

Using satellites and AI to preserve biodiversity, protect livelihoods, and prevent slave labor in the seafood industry.

Published in 2014

Use sound analysis to locate and protect killer whale

Published in 2020

Classifying song of different whale species.

Published in 2018

Make data from the Ocean Observatories Initiative (OOI) publically available in the cloud

Published in 2019

Identify fish species in the ocean.

Published in 2010

Identify wild animals

Published in 2016

Identify illegal fishing vessels using image classification techniques.

Published in 2008

Penguins - globally loved, but under threat. Research shows that in some regions, penguin populations are in decline; but why? Click "get started" to begin monitoring penguins, and help us answer this question. With over 100 sites to explore, we need your help now more than ever!

Published in 2016

Examine underwater photos of wild beluga whales and help us identify the age, sex, and group size. We also need keen eye to look for identifying marks to recognize beluga that return to this location year after year.

Published in 2016

Explore the depths of the ocean to help monitor the Hawaiʻi bottomfish population!

Published in 2001

Filling Fisheries Data Gaps with Historical Dock Photos

Published in 2019

Identification and classification of humpback whale vocalizations

Published in 2012

Bringing Cutting-Edge Technology to Wildlife Conservation Identify, share, analyze and discover near-real time information on wildlife, all in one place. With access to better data, everyone can make better decisions to help wildlife thrive.

Published in 2019

The mission of the SeaDoc Society is to ensure the health of marine wildlife and their ecosystems through science and education. We strive to find science-based solutions for marine wildlife in the Salish Sea through a multi-species approach. SeaDoc is a program of the Karen C. Drayer Wildlife Health Center at the UC Davis School of Veterinary Medicine.

Published in 2000

Cloudwalk use AI technique to identify the species and quantity of fish in Qinghai lake. It is very important for the protection of Gymnocypris przewalskii, which is a valuble and unique resource in the lake.

Published in 2020

Monitoring global fishing activity

Published in 2017

Conservation Metrics provides automated alternatives to historically labor-intensive wildlife survey efforts, combining cutting-edge remote sensing technology, statistical rigor, and extensive scientific expertise to drive down costs and increase the scale and effectiveness of wildlife metrics.

Published in 2012

Lawuna helps detect and monitor macro-pollutants on the shores of freshwater bodies using real-time drone and smartphone imagery. The goal of this project is to establish a freshwater contaminant monitoring system and empower communities with rich, open environmental data while restoring freshwater bodies from extreme damage caused by excessive danges of macro-pollutants.

Published in 2020

Aerobotics uses drone imagery and artificial intelligence to monitor crops and warn about potential risks, early pest, and disease detection.

The RUBSEE project is a real time monitoring system using AI and computer vision to follow waste management processes in waste treatment plants. It aims to optimize the waste industry s environment and improve its economic and regulatory compliance.

Classifying the species of individual trees in a forest

Published in 2019

Monitoring tree loss in the forest

Published in 2020

AI-powered acoustic monitoring of insects

Published in 2019

Get investments on endangered forests

Published in 2019

Identify individual monkeys from images captured by photographers and camera traps, helping researchers identify and find monkeys needing sterilization and distribute contraceptive-laden food.

Published in 2019

Recognize species in the pictures

Published in 2019

Use AI to monitor birds after hurricanes.

Published in 2019

Classify land use to help farmers shift to more sustainable farming methods

Published in 2019

Identify people in the park and manage them on a cloud

Published in 2019

Help train animal tracing skills

Published in 2010

Measure bird biodiversity by sound

Published in 2020

Tracking Antarctic penguin populations

Published in 2012

Monitor and recognize birds' song

Published in 2018

Identify biodiversity in satellite images

Published in 2018

Developing acoustic monitoring systems to prevent illegal deforestation.

Published in 2014

High resolution tree cover estimation program.

Published in 2017

Analyzing camera trap pictures to protect animals

Published in 2019

A market for forrest owners to be paid for the carbon absorbed by their trees.

Published in 2010

Digital map monitoring conservation conditions.

Published in 2016

Capturing and sharing data on lion populations

Published in 2019

Identify wild animals

Published in 2016

Monitoring network to assess the conditions of threatened species and ecological systems.

Published in 2012

The camera trapping survey is operated by the long-term Serengeti Lion Project. The Lion Project has been studying African lions in Tanzania’s Serengeti National Park and the Ngorongoro Conservation Area since the 1960’s. At any given time, our field teams keep track of about 330 lions in 24 prides in the Serengeti, and 50–60 lions in 5 prides on the floor of Ngorongoro Crater. This daily monitori

Published in 2015

Penguins - globally loved, but under threat. Research shows that in some regions, penguin populations are in decline; but why? Click "get started" to begin monitoring penguins, and help us answer this question. With over 100 sites to explore, we need your help now more than ever!

Published in 2016

For the past three years time-lapse cameras set up at various locations across the Arctic have gathered thousands of images of flowers. The goal is to monitor the periodic changes in plant and insect life and ultimately to train a computer to automatically locate and identify pollinators in the images. Now we need your help spotting the pollinators that visit the flowers! Pollinators, such as bee

Published in 2018

Bringing Cutting-Edge Technology to Wildlife Conservation Identify, share, analyze and discover near-real time information on wildlife, all in one place. With access to better data, everyone can make better decisions to help wildlife thrive.

Published in 2019

Generate high-resolution habitat maps for imperiled species

Published in 2020

Camera traps are set to detect wild animals in the wild, identify frames with wild animals, and recognize each tiger by its unique strips patterns.

Published in 2019

Conservation Metrics provides automated alternatives to historically labor-intensive wildlife survey efforts, combining cutting-edge remote sensing technology, statistical rigor, and extensive scientific expertise to drive down costs and increase the scale and effectiveness of wildlife metrics.

Published in 2012

Researches have demonstrated that stratospheric balloons guided by AI can "pursue a long-term strategy for positioning themselves about a location on the Equator even when precise knowledge of buffeting winds is not known," which would "open up a range of commercial and scientific applications for probing Earth’s atmosphere and that of other planets."

Published in 2020

A machine learning algorithm can detect signs of anxiety and depression in the speech patterns of young children, potentially providing a fast and easy way of diagnosing conditions.

Published in 2019

This system can identify suspicious people and objects targeting large events, determining the model of automobiles, and analyzing suspicious financial transactions.

The lab-created a learning strategy to fully master the natural facial age-changing law from the data, to make cross-age recognition more reliable and accurate.

This system can monitor 30+ of the most popular apps and social media platforms, including text messaging and email, for signs of digital dangers.

First, highly-specialized software analyzes audio signals for potential gunshots. After the software determines the location of the sound source, it analyzes the pulse features to determine if the sound is likely to be gunfire. The system pushes the alert notification to law enforcement and emergency responders.

This study points to two different strategies for using artificial intelligence to aid anti-corruption efforts. It can be applied to uncover corruption that was previously difficult to detect. Secondly, it is possible to design novel artificial intelligence-assisted processes with the aim to avoid previously corruption-prone procedures.

Face recognition technology can help to promote family reunion. The system is connected to a National Rescue System from the Ministry of Civil Affairs, and is able to search in a database containing information of 30,000 missing people. Users can upload photos of the missing ones for quick comparisons.

Researches have demonstrated that stratospheric balloons guided by AI can "pursue a long-term strategy for positioning themselves about a location on the Equator even when precise knowledge of buffeting winds is not known," which would "open up a range of commercial and scientific applications for probing Earth’s atmosphere and that of other planets."

Published in 2020

Legaltech Seed is a Non-profit Association focused on Law and Technology, articulating the interdisciplinary participation of students, teachers and professionals in the analysis, debate and production of knowledge related to the unequal distribution in access, use and knowledge of Technologies that impacts and challenges us as citizens and professionals of law.

This project highlights the life stories of women scientists who won the Noble Prize, and discovers the deep connections of these women.

Google's Women Techmakers program provides visibility, community, and resources for women in technology.

Artificial intelligence is used here to identify and prevent the spread of misinformation online by quantifying bias.

This article explains the essentials of AI and data-driven analytics, analyzes the solution space of a number of human development problems, and identifies the most valuable contributions that AI and data analytics can make.

Published in 2018

The initiative is launched by UNDP with IBM Research to develop an algorithm to automate the Rapid Integrated Assessment (RIA). The RIA aims to help countries align their national plans with the Global Goals for Sustainable Development and AI could help reduce the completion time "from an estimated 3-4 weeks to 3 days."

Published in 2018

Experts explore how machine learning can help tackle the climate crisis, such as promoting greenhouse gas emission reduction and helping society adapt to a changing climate. Some high impact problems are identified where existing gaps can be filled by machine learning, and a platform is also built for resource and knowledge sharing as well as interdisciplinary collaborations.

Published in 2019